Data Analytics Intern at Peterman Brothers

Description

Why Intern with Peterman Brothers?

Peterman Brothers is an Indiana-owned company, founded right here in central Indiana. Starting out in Pete Peterman’s garage in 1986, we have grown to have over 550 employees within 6 locations across the state! We’ve been on the Indy Star’s Top Workplaces list six years in a row, and here’s why:

Development: Interns will engage and develop a skillset directly applicable to their current program and throughout the length of their professional career.
Impact: Through our project-based internship, team members can provide real-time input with the company, seeing the immediate result of their efforts.
Opportunity: After working with Peterman Brothers, interns will have an automatic connection to one of the fastest-growing companies in central Indiana, providing opportunity for future full-time roles.

The Role

As a Data Analyst Intern, you will play a pivotal role in supporting our data analysis initiatives. You will have the opportunity to work with cross-functional teams, analyze large datasets, derive actionable insights, and contribute to the development and optimization of our business strategies.

Responsibilities

Assist in collecting, cleaning, and analyzing data from various sources to derive valuable insights.
Collaborate with team members to develop reports, visualizations, and dashboards for internal and external stakeholders.
Help in the identification of trends, patterns, and anomalies within datasets, offering valuable interpretations.
Support in the creation and maintenance of databases and data systems.
Contribute to the improvement of data quality and integrity by validating and auditing data.

Qualifications

Education – Pursuing a Bachelor’s or Master’s degree in a relevant field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
Certifications – No specific certifications required; however, any related certifications or coursework in data analysis, statistics, or programming languages (such as Python, R, SQL, etc.) would be advantageous.
Professional Experience – While no prior professional experience is required, any exposure to data analysis tools, statistical methodologies, or relevant internships would be a plus. Candidates with a demonstrated understanding of data structures, data visualization, or coding will be highly considered.